RCCE Course
Course #805

KMS Incident Handling: Fast Track

📊 Level: Beginner
⏱️ Duration: 2 Days
🏷️ Track: Cloud Security
📋 Prerequisites: None
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn Key Management Service operations including encryption key lifecycle management, key hierarchy design, key rotation policies, and key access control across cloud platforms. RCCE students will learn to design encryption key architectures using cloud-native KMS services (AWS KMS, Azure Key Vault, GCP Cloud KMS), implement key hierarchies with customer-managed keys and cloud-managed keys, configure key rotation policies, enforce least-privilege access to encryption keys, audit key usage and access patterns, manage envelope encryption for data at rest and in transit, and respond to incidents involving compromised or suspected-compromised encryption keys. This incident response course prepares students to act decisively during security incidents with structured workflows and clear decision frameworks. Starting from foundational concepts, RCCE students will learn containment, evidence collection, eradication, and recovery procedures specific to this domain. Students practice incident scenarios that build the composure, coordination, and documentation skills essential for effective incident handling.

🎯 Target Audience
  • Cloud Security Architects and Engineers
  • DevSecOps and Platform Engineers
  • Identity and Access Management Specialists
  • Security Analysts securing cloud workloads
  • Professionals implementing KMS Incident Handling: Fast Track
🧠 What You Will Learn
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for core knowledge
  • Build detections and response workflows for privilege escalation, including Defense Skills.
  • Execute hands-on tasks for learning objectives
  • Execute hands-on tasks for user input
  • Execute hands-on tasks for dom-based xss — covering Payload in request parameters.
  • Execute hands-on tasks for reflected xss deep dive
  • Execute hands-on tasks for server reflects
  • Execute hands-on tasks for browser parses
  • Execute hands-on tasks for script executes
  • Build detections and response workflows for privilege escalation, including Payload embedded in URL or form data.
  • Execute hands-on tasks for most common xss variant found — covering Suspicious URL parameters with script tags.
📚 Course Outline
Module 01Course Overview
Module 02Core Knowledge
Module 03Incident Response
Module 04Learning Objectives
Module 05User Input
Module 06DOM-Based XSS
Module 07Reflected XSS Deep Dive
Module 08Server Reflects
Module 09Browser Parses
Module 10Script Executes
Module 11Detection Indicators
Module 12Most common XSS variant found
Module 13Stored XSS Deep Dive
Module 14Payload Submitted →
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice kms incident handling: fast track by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Explain Course Overview fundamentals
  • Lab 2: Execute hands-on tasks for core knowledge
  • Lab 3: Build detections and response workflows for privilege escalation
  • Lab 4: Execute hands-on tasks for learning objectives
  • Lab 5: Execute hands-on tasks for user input
📊 Skill Level
Beginner
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for KMS Incident Handling: Fast Track, verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI